Statistical Method for Meta-Analysis

Name: Statistical Method for Meta-Analysis
Price: 6.75 USD
Availability: InStock
ISBN: 9780123363800

ISBN-10: 0123363802

ISBN-13: 9780123363800

Edition: N/A

Authors: Larry V. Hedges, Ingram Olkin

List price: $72.95

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Description:

The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis , and we do not deal with these. Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader. Throughout the book we describe computational procedures whenever required. Many…

Book details

List price: $72.95
Publisher: Elsevier Science & Technology Books
Publication date: 7/28/1985
Binding: Hardcover
Pages: 369
Size: 6.25" wide x 9.50" long x 1.00" tall
Weight: 1.650
Language: English



The main purpose of this book is to address the statistical issues for integrating independent studies


There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis, and we do not deal with these


Because this book concerns methodology, the content necessarily is statistical, and at times mathematical


In order to make the material accessible to a wider audience, we have not provided proofs in the text


Where proofs are given, they are placed as commentary at the end of a chapter


These can be omitted at the discretion of the reader


Throughout the book we describe computational procedures whenever required


Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD


Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package